Python Tensorflow 2 Flask CNN GitHub Heroku Paas Free Guided Project

Welcome to the project on Hosting an Image Classification App on Heroku. In this project, we will get a basic understanding of how to deploy a web app on Heroku, a Platform as a Service.

Heroku is a cloud platform for the deployment and management purposes of web applications. It could be considered as one of the best solutions for hosting web-apps very quickly, thus allowing the developer to concentrate more on development.

Deep Learning Python Tensorflow 2 Flask ResNet50 CNN ZMQ Runtime Performance Free Guided Project Speed up the web app Optimization Low-Latency App Performance Improvement

Welcome to the project on How to build low-latency deep-learning-based flask app. In this project, we will refactor the entire codebase of the project [ How to Deploy an Image Classification Model using Flask][1]. That monolithic code will be refactored to form two microservices - the flask service and model service. The model service acts as a server that renders pretrained Tensorflow model as a deep learning API, and keeps listening for any incoming requests. The flask service requests the model service, and displays the response from the model server. This way, we write cleaner code and promote service isolation.

Further …

TensorFlow2 OpenAI Gym Reinforcement Learning Python3 Policy Gradients Algorithm

Welcome to this project on the CartPole game using OpenAI gym. In this project, we will use OpenAI gym tool to understand how to make CartPole game from the basic.

This is a Hands-On assessment to help you learn how to create a deep neural network using TensorFlow in Python. We are going to use the MNIST example to demonstrate.

Python Tensorflow 2 Classification Flask Convultional Neural Network Pre-Trained Model ResNet50 App Deployment

Welcome to this project on Deploy Image Classification Pre-trained Keras model using Flask. In this project, we will have a comprehensive understanding of how to deploy a deep learning model as a web application using the Flask framework.

Developing a machine learning or deep learning model is very important to solve problems using AI. On the other hand, it is equally important to have a knowledge of how to deploy those amazing problem-solving models into such an interface that enables the users to make use of these solutions. Even many apps we use today, like YouTube, Amazon/Flipkart shopping, FaceApps …